The “butterfly effect” is a way to describe the cumulative effect in large and complex systems over time of very small actions. The idea is that when a butterfly flaps its wings, it causes incredibly tiny air currents, but those currents affect the paths of other air currents, which affects other things, and eventually leads to an entirely different result than would have occurred if that butterfly wasn’t there.
The butterfly effect in chaos theory is the reactive reliance on initial conditions in which a small change in one state of a nonlinear deterministic system can result in large changes in a late state.Everything we do is connected like a chain.As an example of the limitations of forecasting complex systems, such as climate, the butterfly effect is often given. Because there are so many factors, and even a small change can change things radically over time, predictions are becoming increasingly impossible as time goes on.
The famous meteorologist and mathematician Lorenz theorized in simpler language that weather prediction models are inaccurate because it is impossible to know the precise starting conditions, and the results can be thrown off by a small change. Lorenz began using the butterfly analogy to make the concept understandable to non-scientific audiences.He explained in speeches and interviews that a butterfly has the potential to create tiny changes that could alter its path while not causing a typhoon. The tiny changes in atmospheric pressure are represented by a flapping wing, and these changes compound as a model progresses. Since minor, almost imperceptible changes in complex systems can have massive implications, Lorenz argues.
The butterfly effect is a broad concept that can be applied to any area.In simple terms ,it is the idea that small changes we make can lead to big changes in future.